Enhanced Flexibility Aggregation Using LinDistFlow Model with Loss Compensation

Fuente: arXiv
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Main Authors: Jiang, Yanlin, Dai, Xinliang, Zahn, Frederik, Hagenmeyer, Veit
Format: Preprint
Published: 2025
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author Jiang, Yanlin
Dai, Xinliang
Zahn, Frederik
Hagenmeyer, Veit
author_facet Jiang, Yanlin
Dai, Xinliang
Zahn, Frederik
Hagenmeyer, Veit
contents With the increasing integration of renewable energy resources and the growing need for data privacy between system operators, flexibility aggregation methods have emerged as a promising solution to coordinate integrated transmissiondistribution (ITD) systems with limited information exchange. However, existing methods face significant challenges due to the nonlinearity of AC power flow models, and therefore mostly rely on linearized models. This paper examines the inherent errors in the LinDistFlow model, a linearized approximation, and demonstrates their impact on flexibility aggregation. To address these issues, we propose an intuitive compensation approach to refine the LinDistFlow-based flexibility set. Simulation results demonstrate the effectiveness of the proposed method in efficiently coordinating ITD systems.
format Preprint
id arxiv_https___arxiv_org_abs_2505_01715
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Enhanced Flexibility Aggregation Using LinDistFlow Model with Loss Compensation
Jiang, Yanlin
Dai, Xinliang
Zahn, Frederik
Hagenmeyer, Veit
Systems and Control
With the increasing integration of renewable energy resources and the growing need for data privacy between system operators, flexibility aggregation methods have emerged as a promising solution to coordinate integrated transmissiondistribution (ITD) systems with limited information exchange. However, existing methods face significant challenges due to the nonlinearity of AC power flow models, and therefore mostly rely on linearized models. This paper examines the inherent errors in the LinDistFlow model, a linearized approximation, and demonstrates their impact on flexibility aggregation. To address these issues, we propose an intuitive compensation approach to refine the LinDistFlow-based flexibility set. Simulation results demonstrate the effectiveness of the proposed method in efficiently coordinating ITD systems.
title Enhanced Flexibility Aggregation Using LinDistFlow Model with Loss Compensation
topic Systems and Control
url https://arxiv.org/abs/2505.01715